Comparing random forest and elastic net models to predict substance use disorder transitions in participants with cannabis and stimulant use: Evidence from the All of Us cohort.
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| Title: | Comparing random forest and elastic net models to predict substance use disorder transitions in participants with cannabis and stimulant use: Evidence from the All of Us cohort. |
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| Authors: | Zamora G; University of California, San Diego, 9500 Gilman Dr La Jolla, CA 92093, USA. Electronic address: g1zamora@health.ucsd.edu., Gunawan T; Department of Medical and Clinical Psychology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA; Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA. Electronic address: tommy.gunawan.ctr@usuhs.edu., Zhao Q; Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA. Electronic address: qiz4006@med.cornell.edu., Meruelo AD; University of California, San Diego, 9500 Gilman Dr La Jolla, CA 92093, USA. Electronic address: ameruelo@health.ucsd.edu. |
| Source: | Drug and alcohol dependence [Drug Alcohol Depend] 2026 Jan 01; Vol. 278, pp. 113012. Date of Electronic Publication: 2025 Dec 18. |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Elsevier Country of Publication: Ireland NLM ID: 7513587 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0046 (Electronic) Linking ISSN: 03768716 NLM ISO Abbreviation: Drug Alcohol Depend Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1879-0046 |
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| DOI: | 10.1016/j.drugalcdep.2025.113012 |
